CGCL-codes / pFedSD
The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".
☆29Updated 2 years ago
Alternatives and similar repositories for pFedSD:
Users that are interested in pFedSD are comparing it to the libraries listed below
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- ☆11Updated last year
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆16Updated last month
- ☆23Updated 2 years ago
- Simplified Implementation of FedPAC☆56Updated last year
- ☆36Updated 3 years ago
- ☆33Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 5 months ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆49Updated 3 months ago
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆86Updated 2 years ago
- fully ready experiments☆37Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆79Updated 2 years ago
- ☆47Updated 3 months ago
- ☆74Updated 4 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- ☆28Updated 4 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆20Updated last year
- Pytorch implementations of some general federated optimization methods.☆39Updated 6 months ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆61Updated 7 months ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 2 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆16Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- ☆30Updated 2 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆88Updated 2 years ago
- ☆64Updated 6 months ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆46Updated 2 years ago